G.K.-W. Kong

1.1k citations
13 papers · 815 indexed · h-index 10
Topics
Alzheimer's disease research and treatments (4 papers)Trace Elements in Health (4 papers)Drug Transport and Resistance Mechanisms (3 papers)

In The Last Decade

G.K.-W. Kong

13 papers receiving 805 citations

Peers

G.K.-W. Kong
Comparison fields: 5 of 83
  • Molecular Biology 541
  • Physiology 165
  • Endocrinology, Diabetes and Metabolism 159
  • Surgery 147
  • Cellular and Molecular Neuroscience 96
Replace Benjamin Gottschalk with:
Benjamin Gottschalk Austria
Jiandi Zhang United States
Kamil Gotfryd Denmark
Catherine Marquer France
Vincent M. Coghlan United States
Susan E. O’Donnell United States
D.K. Apps United Kingdom
Nicole Merten Germany
Armand B. Cognetta United States
W. Bruce Sneddon United States
G.K.-W. Kong relative to Benjamin Gottschalk Austria Benjamin Gottschalk's profile →
Citations per field
00.5×3.2×
Benjamin Gottschalk · 1×
Citations per year

Countries citing papers authored by G.K.-W. Kong

Since Specialization
Citations

This map shows the geographic impact of G.K.-W. Kong's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by G.K.-W. Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.K.-W. Kong more than expected).

Fields of papers citing papers by G.K.-W. Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.K.-W. Kong. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by G.K.-W. Kong. The network helps show where G.K.-W. Kong may publish in the future.

Co-authorship network of co-authors of G.K.-W. Kong

This figure shows the co-authorship network connecting the top 25 collaborators of G.K.-W. Kong. A scholar is included among the top collaborators of G.K.-W. Kong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G.K.-W. Kong. G.K.-W. Kong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 4
2 90
3 18
4 89
5 45
6 293
7 84
8 57
9 28
10 83
11 6
12 2
13 16

About G.K.-W. Kong

G.K.-W. Kong is a scholar working on Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism and Biophysics, having authored 13 papers that have together received 815 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Trace Elements in Health (4 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Structural Biology (14 citations), Endocrinology, Diabetes and Metabolism (159 citations) and Molecular Biology (541 citations). G.K.-W. Kong has collaborated with scholars based in Australia, United States and Hong Kong. Frequent co-authors include Michael C. Lawrence, John G. Menting, Mai B. Margetts, Colin W. Ward, Jonathan Whittaker, Michael A. Weiss, Shu Jin Chan, Donald F. Steiner, Brian J. Smith and Michael W. Parker. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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